Merge pull request #86896 from v-rihow/geo-ai-dsvm-overview

edit pass: geo-ai-dsvm-overview

Author: ShawnJackson

articles/machine-learning/data-science-virtual-machine/geo-ai-dsvm-overview.md

@@ -1,7 +1,7 @@
 ---
 title: Overview Geo Artificial Intelligence Data Science Virtual Machine
 titleSuffix: Azure
-description: The Geo Artificial Intelligence Data Science Virtual Machine provides ArcGIS Pro for working with geographic data. It also provides Python, R, and data science tookits for working with machine learning and artificial intelligence.
+description: The Geo Artificial Intelligence Data Science Virtual Machine provides ArcGIS Pro for working with geographic data. It also provides Python, R, and data science toolkits for working with machine learning and artificial intelligence (AI).
 keywords: deep learning, AI, data science tools, data science virtual machine, geospatial analytics
 services: machine-learning
 documentationcenter: ''
@@ -23,30 +23,30 @@ ms.author: vijetaj
 
 # Introduction to the Geo Artificial Intelligence Data Science Virtual Machine
 
-The Azure **Geo AI Data Science VM** (Geo-DSVM) delivers geospatial analytics capabilities from Microsoft's Data Science VM. Specifically, this VM extends the AI and data science toolkits in the [Data Science VM](overview.md) by adding ESRI's market-leading [ArcGIS Pro](https://www.esri.com/arcgis/products/arcgis-pro/overview) Geographic Information System.
+The Geo Artificial Intelligence Data Science Virtual Machine (also known as Geo AI Data Science VM, or Geo-DSVM) delivers geospatial analytics capabilities from the Azure Data Science Virtual Machine (DSVM). Specifically, this VM extends the AI and data science toolkits in the [DSVM](overview.md) by adding the market-leading [ArcGIS Pro](https://www.esri.com/arcgis/products/arcgis-pro/overview) geographic information system from ERSI.
 
-The Geo AI Data Science VM is a product offering arising out of the collaboration between ESRI and Microsoft. The result is a powerful environment that provides the ability to:
+ Geo AI Data Science VM is a product offering that arose out of the collaboration between ESRI and Microsoft. The result is a powerful environment that provides the ability to:
 
-- explore data with the most popular AI and data science tools
-- apply statistical analysis to data with geographical or spatial aspects
-- train models for predictive analytics using machine learning and deep learning algorithms
-- create rich visualization
+- Explore data with the most popular AI and data science tools
+- Apply statistical analysis to data with geographical or spatial aspects
+- Train models for predictive analytics by using machine learning and deep learning algorithms
+- Create rich visualizations
 
-It is supported on the Windows 2016 Data Science Virtual Machine. Python and R interfaces to ArcGIS are also pre-configured on the Geo-DSVM enabling programmatic access to geospatial analytics within your AI applications. Jupyter Notebook samples are also provided to help get started with building AI applications infused with geospatial intelligence.
+Geo AI Data Science VM is supported on the Windows 2016 DSVM. Python and R interfaces to ArcGIS are also preconfigured on the Geo-DSVM, enabling programmatic access to geospatial analytics within your AI applications. Additionally, Jupyter Notebook samples are provided to help you get started building AI applications infused with geospatial intelligence.
 
 
 ## Why Geo AI Data Science VM? 
 
-Integrating geography and location information with your data brings a powerful new dimension to understanding a world increasingly instrumented with IOT devices. A wide range of applications exists in virtually every segment of civil society, whether commercial, governmental, academic, or not-for-profit activities. Geospatial analytics provides robust tools for gathering, managing and analyzing geographic and location-based data and powerful visualization that can enable unique insights into the significance of such data. 
+Integrating geography and location information into your data brings a powerful new dimension to understanding a world increasingly instrumented with IoT devices. There's now a wide range of applications in virtually every segment of civil society, whether commercial, governmental, academic, or not-for-profit. Geospatial analytics provide robust tools for gathering, managing, and analyzing geographic and location-based data. They also offer powerful visualization that can enable unique insights into the significance of such data.
 
-The [Data Science Virtual Machine (DSVM)](overview.md) from Microsoft is a popular experimentation and modeling environment on Azure, that provides a host of AI, Machine Learning, and data science tools. These platforms and tools are all conveniently pre-configured to help you be immediately productive. 
+The [Data Science Virtual Machine (DSVM)](overview.md) from Microsoft is a popular experimentation and modeling environment on Azure, which provides a host of AI, Machine Learning, and data science tools. These platforms and tools are all conveniently preconfigured to help you get productive immediately.
 
-By combining the predictive capabilities of the Data Science VM with the scalability of the Azure Cloud and the Geospatial analytics software from [ESRI](https://www.esri.com), data scientists and geo-spatial analysts now have a productive platform from which to obtain new intelligence from their data and identify new opportunities. 
+Geo AI Data Science VM combines the predictive capabilities of the DSVM with the scalability of the Azure cloud and the geospatial analytics software from [ESRI](https://www.esri.com). This pioneering integration provides data scientists and geospatial analysts with a productive platform from which to obtain new intelligence from their data, and to identify new opportunities.
 
 
 ## Next steps
 
-Provision a Geo AI Data Science VM and get started using it with guidance from the following topics:
+Provision a Geo AI Data Science VM and get started using it with guidance from the following resources:
 
 * [Provision a Geo AI Data Science VM](provision-geo-ai-dsvm.md)
 * [Use the Geo AI Data Science VM](use-geo-ai-dsvm.md)